FAIRsFAIR landscape analysis outputs

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Sara Pittonet Gaiarin's picture
13 Dec 2019

FAIRsFAIR landscape analysis outputs

  • By Sara Pittonet Gaiarin

Dear members of the EOSC Liaison platform,

We would like to share with you a few of the recent FAIRsFAIR landscape analysis deliverables and vision document. The deliverables have just been submitted to the EC for approval and until they are signed off, will be considered drafts. Feedback and comments will be highly appreciated.


D2.1 Report on FAIR requirements for persistence and interoperability 2019


This document is the first iteration of three annual reports on the state of FAIR in European scientific data by the FAIRsFAIR project. The interpretation of the FAIR data principles and their implications for services are now under intense scrutiny across Europe with multiple possible outcomes. The report is based on studies of public information, especially EOSC infrastructure efforts, and on limited surveying and interviews. The focus has been on understanding the usage of persistent identifiers and semantic interoperability. This study highlights the rapidity of change in technical solutions and wide variation across scientific domains in the uptake. More efforts are needed to guide researchers in best practices.


D3.1 FAIR Policy Landscape Analysis


FAIRsFAIR carried out an analysis of the current data policy landscape at various levels (national, funder, publisher, institutional) to provide a snapshot of the situation in 2019 and to identify policy elements that support or hinder FAIR data practice. To provide a comparative baseline for reviewing the data policies of various stakeholders, the priority and supporting actions presented in the Turning FAIR into Reality (TFiR) action plan were employed. To assess how well the policies of different stakeholders currently reflect TFiR’s action plan, we carried out desk research to characterise policies, undertook an analysis of responses to an open consultation, and conducted a small number of interviews. This report presents the findings of these landscape assessment activities and provides an evidence base for FAIRsFAIR to build upon as work begins to define a set of practical recommendations to support policy enhancement (D3.3). We will share a link to the draft policy enhancement recommendations later this month and would be grateful your feedback.


FAIR Ecosystem Components: Vision


The primary focus of work package four in FAIRsFAIR is (trusted) repositories that enable the curation of (FAIR) objects. But to be integrated into an operational European Open Science Cloud (EOSC) a wider vision of FAIR ecosystem dependencies and interconnections is required. Data users and stewards of all kinds must be empowered to find, store and access data and metadata designed for interoperability and reuse. This draft presents a vision for the FAIR ecosystem components required to ensure FAIRness across the full data lifecycle.


D6.1 Overview of needs for competence centres


This report provides an analysis of the landscape of available competence centres with a focus on  gaps  in  disciplines  and  features.  In  addition,  we  will  present  the  expectations  of  the FAIRsFAIR project for the project’s Competence Centre and needs raised by the community in surveys, interviews and workshops. Based on these results, we provide recommendations on  advisory  services,  harmonisation  and  dissemination  of  outputs  that  the  FAIRsFAIR Competence Centre could offer which will be the foundation for any future work carried out in work package WP6.


FAIRsFAIR has a Zenodo community where you can access these and other project outputs. https://zenodo.org/communities/fairsfair/?page=1&size=20



Sara, on behalf of the FAIRsFAIR consortium